Data, AI, and Cloud Courses

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Learn to analyze and model customer choice data in R.

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Learn defensive programming in R to make your code more robust.

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Are you curious about the inner workings of the models that are behind products like Google Translate?

Learn to detect fraud with analytics in R.

Learn to create animated graphics and linked views entirely in R with plotly.

Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Predict employee turnover and design retention strategies.

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.